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首页> 外文期刊>Food analytical methods >Coupling of GC-MS/MS to Principal Component Analysis for Assessment of Matrix Effect: Efficient Determination of Ultra-Low Levels of Pesticide Residues in Some Functional Foods
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Coupling of GC-MS/MS to Principal Component Analysis for Assessment of Matrix Effect: Efficient Determination of Ultra-Low Levels of Pesticide Residues in Some Functional Foods

机译:GC-MS / MS对基质效应评估的主成分分析的偶联:有效测定一些功能性食物中的超低水平的农药残留量

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摘要

Functional foods provide nutritional and health benefits, yet they could be contaminated with residues like pesticides and polychlorobiphenyls. These residues affect the safety, quality, and consequently the commercial value of functional foods. Therefore, the validity and efficiency of residue determination methods constitute a major analytical concern. Reduction of matrix effect (ME) has always been the golden key for guaranteed sensitivity, selectivity, and high throughput analysis. This study aims for accurate determination and streamlined quantification of 200 pesticide residues in 16 matrices. Hence, QuEChERS protocol coupled to GC-MS/MS was then employed and separations were obtained in 25 min. Dilution of the final extracts of fresh and herbal samples was carried out to achieve an acceptable balance between sensitivity and peak characteristics. Dilution factors of 1x and 5x were selected for fresh and herbal samples, respectively. Principal component analysis (PCA) was then independently applied on the digitally exported total ion chromatograms (TICs) of the studied matrices and the calculated ME%. PCA score/loading plots of TICs demonstrated the key matrix constituents that influenced the obtained trends. Similarly, three main clusters were obtained after PCA of ME% indicating a dependent relationship between matrix type and the obtained effects. Out of the obtained three clusters, an appropriate representative matrix-matched calibration (R-MMC) was selected for ME compensation. Based on the EU validation guidelines, the proposed protocol was validated at 2 and 10 mu g Kg(-1) with acceptable method performance. Four proficiency testing (PT) and commercial samples were successfully analyzed. The proposed protocol would help laboratories to increase sample processing capacity and to ensure the safety of functional food products. This work should serve in setting standards that warranty the quality/safety of functional foods by national regulatory authorities.
机译:功能性食品提供营养和健康益处,但它们可能会被杀虫剂和聚氯二苯基等残留物污染。这些残留物影响安全,质量,从而影响功能性食物的商业价值。因此,残留测定方法的有效性和效率构成了主要的分析问题。减少矩阵效应(ME)一直是保证灵敏度,选择性和高吞吐量分析的金钥匙。本研究旨在在16个基质中精确测定和简化的200农药残留量的定量。因此,然后使用偶联与GC-MS / MS的QueChers方案并在25分钟内获得分离。进行稀释新鲜和草药样品的最终提取物,以在灵敏度和峰值特征之间达到可接受的平衡。为新鲜和草药样品分别选择1X和5X的稀释因子。然后独立地应用于所研究的矩阵的数字出口的总离子色谱图(TICS)和计算的ME%的主成分分析(PCA)。 TICS的PCA分数/加载图显示了影响所获得的趋势的关键矩阵成分。类似地,在ME的PCA百分比后获得三个主要簇,指示矩阵类型与所获得的效果之间的依赖关系。除了所获得的三个集群中,选择适当的代表性矩阵匹配校准(R-MMC),用于给我补偿。根据欧盟验证指南,拟议的议定书以2和10μgkg(-1)验证,具有可接受的方法性能。成功分析了四种能力测试(PT)和商业样品。拟议的议定书将有助于实验室提高样品处理能力,并确保功能性食品的安全性。这项工作应在设定保修国家监管机构的质量/安全的标准。

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